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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 14440
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    INDEX
    Explanations

    phrases relating to cause and effect with 'in turn'

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "in" used in various contexts throughout the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FTWARE
    -0.85
    76561
    -0.70
    ername
    -0.59
    rift
    -0.58
    ounter
    -0.58
    asks
    -0.58
    iris
    -0.57
     WHERE
    -0.57
    wagon
    -0.56
    soDeliveryDate
    -0.56
    POSITIVE LOGITS
     turn
    1.38
     fact
    1.33
     essence
    1.28
     effect
    1.12
     retrospect
    1.10
     theory
    1.10
     reality
    1.08
    activate
    1.05
     hindsight
    1.05
     addition
    1.04
    Activations Density 0.094%

    No Known Activations